浙江医学2023，Vol.45Issue(23)：2486-2490,5.DOI:10.12056/j.issn.1006-2785.2023.45.23.2023-1509
超声影像组学模型对乳腺癌人表皮生长因子受体2表达的预测价值
Construction of an ultrasound radiomics model for prediction of human epidermal growth factor receptor 2 expression in breast cancer
摘要
Abstract
Objective To explore the value of ultrasound radiomics model in predicting human epidermal growth factor receptor 2(HER-2)expression in breast cancer.Methods A total of 235 female patients with pathologically confirmed breast cancer at the First College of Clinical Medical Science of China Three Gorges University from January 2018 to April 2023 were retrospectively analyzed,including 85 cases with positive HER-2 expression and 150 cases with negative HER-2 expression.The patients were randomly divided into a training set(n=164)and a validation set(n=71)in a 7:3 ratio.Ultrasound images depicting the largest diameter section of breast lesions were selected for analysis.The 3D-Slicer software was utilized to manually segment the images and extract radiomics features.Subsequently,the features were Z-Score normalized and filtered using the Pearson correlation coefficient,minimum redundancy maximum correlation algorithm,and minimum absolute shrinkage selection operator.Finally,the AdaBoost algorithm was employed to construct a radiomics model.The model performance was evaluated using the ROC curve,and the difference in the area under the ROC curve(AUC)between the training set and the validation set was evaluated using the Delong test.Results Eight radiomics features were selected to create ultrasound radiomics model.In the training set and validation set,the AUC,accuracy,sensitivity,specificity,positive predictive value,and negative predictive value of this model in predicting HER-2 positive expression were 0.830(95％CI:0.772-0.888)、0.718、0.853、0.642、0.574、0.885,0.771(95％CI:0.629-0.912)、0.723、0.706、0.733、0.600、0.815,respectively.The Delong test results indicated that there was no statistically significant difference in AUC between the training set and the validation set(P＞0.05).Conclusion Ultrasound radiomics signatures may be used for predicting the expression status of breast cancer molecular marker HER-2.关键词
超声影像组学/乳腺癌/分子标志物/人表皮生长因子受体2Key words
Ultrasound radiomics/Breast cancer/Molecular markers/Human epidermal growth factor receptor 2引用本文复制引用
鲜锋,周畅,韦力,谌典,聂淑婷,邵袁缘,胡文姝,李心怡,张奥懿..超声影像组学模型对乳腺癌人表皮生长因子受体2表达的预测价值[J].浙江医学,2023,45(23):2486-2490,5.基金项目
中华国际医学交流基金项目(Z2014072101) （Z2014072101）
